
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Fri, Apr 22, 2022 - 21:12:07
\begin{table}[!htbp] \centering 
  \caption{Full regression output for Table A-17} 
  \label{table_news_beveridge_cl} 
\begin{tabular}{@{\hspace{-10pt}}l@{\hspace{-10pt}}cccccccccc} 
\toprule 
 & \multicolumn{2}{c}{Beveridge terms} & \multicolumn{2}{c}{``fluctuation''} & \multicolumn{2}{c}{``depression''} & \multicolumn{2}{c}{``(un)employment''} & \multicolumn{2}{c}{``exchange''} \\ 
 & (1) & (2) & (3) & (4) & (5) & (6) & (7) & (8) & (9) & (10)\\ 
\midrule  
\\[-2.1ex] $\Delta\textrm{IPW}_{1885}$ & 0.115$^{***}$ & 0.116$^{***}$ & 0.124$^{***}$ & 0.116$^{**}$ & 0.137$^{**}$ & 0.159$^{**}$ & 0.061$^{*}$ & 0.062 & 0.124$^{***}$ & 0.167$^{***}$ \\ 
  & (0.031) & (0.029) & (0.034) & (0.044) & (0.054) & (0.074) & (0.034) & (0.038) & (0.037) & (0.041) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1885 &  & 0.205 &  & $-$0.047 &  & 0.908 &  & $-$0.249 &  & 1.445$^{**}$ \\ 
  &  & (0.836) &  & (0.586) &  & (1.177) &  & (1.011) &  & (0.645) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1886 &  & 0.147 &  & $-$0.371 &  & 0.306 &  & 0.279 &  & 1.464$^{*}$ \\ 
  &  & (0.893) &  & (0.430) &  & (1.115) &  & (1.029) &  & (0.738) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1892 &  & $-$0.609 &  & 0.554 &  & 0.313 &  & 0.521 &  & 0.429 \\ 
  &  & (0.903) &  & (0.605) &  & (0.901) &  & (1.209) &  & (0.874) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1895 &  & $-$0.505 &  & $-$0.279 &  & $-$0.521 &  & $-$0.034 &  & 0.164 \\ 
  &  & (0.909) &  & (0.619) &  & (1.057) &  & (1.355) &  & (0.723) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1900 &  & $-$1.197 &  & $-$0.421 &  & $-$0.361 &  & $-$1.249 &  & $-$0.519 \\ 
  &  & (0.738) &  & (0.599) &  & (0.785) &  & (0.995) &  & (0.855) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1906 &  & 0.339 &  & 0.579 &  & $-$0.147 &  & 0.599 &  & 0.463 \\ 
  &  & (0.396) &  & (0.546) &  & (0.457) &  & (0.589) &  & (0.467) \\ 
 \addlinespace 
 const\_frac\_secondary $\times$ as.factor(year)1910 &  &  &  &  &  &  &  &  &  &  \\ 
  &  & (0.000) &  & (0.000) &  & (0.000) &  & (0.000) &  & (0.000) \\ 
 \addlinespace 
\midrule  
Initial Mf x year &  & x &  & x &  & x &  & x &  & x \\ 
Observations & 2,365 & 2,365 & 2,365 & 2,365 & 2,365 & 2,365 & 2,365 & 2,365 & 2,365 & 2,365 \\ 
R$^{2}$ & 0.787 & 0.788 & 0.744 & 0.745 & 0.764 & 0.766 & 0.731 & 0.733 & 0.798 & 0.800 \\ 
Adjusted R$^{2}$ & 0.732 & 0.733 & 0.678 & 0.678 & 0.704 & 0.704 & 0.661 & 0.663 & 0.745 & 0.747 \\ 
\bottomrule 
\textit{Note:}  & \multicolumn{10}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
 & \multicolumn{10}{l}{\parbox[t]{0.7\textwidth}{
        Newspaper-level regressions. Dependent variable is number of uses of
        specified term per newspaper issue, standardized. All models include
        newspaper and year fixed effects. For newspapers in cities, $\Delta$IPW
        is calculated at the city-, not constituency-level. ``Beveridge terms''
        refers to terms overused in Beveridge's \emph{Unemployment: A Problem
        of Industry}, relative to other contemporary writings supportive of the
        existing Poor Law system. Terms were selected using the $\chi^2$ test
        statistic proposed by Gentzkow and Shapiro (2010). The terms in question
        are ``unemployed,'' ``unemployment,'' ``industrial,'' ``exchange,''
        ``table,'' ``fluctuation,'' ``demand,'' ``depression,'' ``trades,''
        ``reserve,'' ``percentage,'' ``organisation,'' ``situation,''
        ``cyclical,'' ``skilled,'' ``dock,'' ``note,'' ``seasonal,''
        ``unskilled,'' and ``production.'' Standard errors clustered by county in
        parentheses.}} \\ 
\end{tabular} 
\end{table} 
